About careerzynith
careerzynith is a global leader in entertainment, media, and technology, delivering unforgettable experiences to millions of fans worldwide. With a legacy of innovation that spans theme parks, streaming services, and cutting‑edge digital platforms, careerzynith continuously pushes the boundaries of what’s possible in the world of immersive storytelling. As part of its ongoing digital transformation, careerzynith is building a next‑generation data ecosystem that powers everything from content recommendation engines to operational efficiencies across its vast portfolio of brands.
Why This Role Matters
Data is the lifeblood of careerzynith’s creative and business engines. The Senior Data Engineer you will become is a pivotal figure in the Item Execution and Instrumentation Group, responsible for designing, building, and maintaining data pipelines that enable real‑time insights, predictive analytics, and scalable data products. Your work will directly influence how careerzynith’s iconic brands deliver personalized experiences, optimize operations, and drive revenue growth.
Role Overview
As a Senior Data Engineer at careerzynith, you will lead the architecture and implementation of robust data solutions that span cloud, on‑premises, and hybrid environments. You will collaborate with data product owners, data scientists, and cross‑functional teams to translate business requirements into high‑performance data platforms. This is a fully remote, full‑time position based in the United States, offering a competitive salary range of $35,000–$40,000 per year.
Key Responsibilities
- Design & Build Scalable Data Pipelines: Develop and maintain ETL/ELT pipelines in Scala, Python, and Spark that process terabytes of data daily while adhering to strict SLA uptime requirements.
- Lakehouse Engineering: Lead the migration to a Lakehouse‑driven architecture using Delta Lake, Snowflake, and Databricks, ensuring data consistency, reliability, and accessibility for analytics teams.
- Cloud Integration: Leverage AWS services (S3, EMR, EC2, Glue) to create resilient, cost‑effective data solutions that support both batch and streaming workloads.
- Collaboration & Communication: Partner with Data Product Managers, Data Architects, and Business Analysts to define data models, establish governance standards, and deliver end‑to‑end data solutions.
- Documentation & Quality Assurance: Maintain comprehensive documentation, data lineage, and metadata catalogs to support data quality initiatives and regulatory compliance.
- Performance Optimization: Continuously monitor, profile, and tune data pipelines to achieve optimal throughput, latency, and resource utilization.
- Agile Participation: Actively contribute to Scrum ceremonies, sprint planning, and retrospectives, fostering a culture of continuous improvement and knowledge sharing.
- Problem Solving & Innovation: Identify bottlenecks, propose automation opportunities, and drive cost‑saving initiatives across the data platform.
- Stakeholder Engagement: Build strong relationships with internal customers, translating technical concepts into business value and ensuring alignment with strategic objectives.
Essential Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related field (or equivalent professional experience).
- 5+ years of hands‑on experience designing and operating large‑scale data pipelines in a production environment.
- Proficiency in Scala and Python, with a deep understanding of functional programming paradigms.
- Strong SQL skills; ability to write complex queries, optimize performance, and build performant data sets.
- Extensive experience with Apache Spark (including PySpark) and data processing frameworks such as Flink.
- Solid background in AWS services (S3, EMR, EC2, Lambda, Glue) and cloud‑native data architectures.
- Hands‑on experience with at least one major MPP or cloud data warehouse technology (Snowflake, Redshift, BigQuery, etc.).
- Familiarity with data lakehouse concepts, Delta Lake, and Databricks platform.
- Understanding of data modeling, data warehousing best practices, and data governance principles.
- Experience working in Agile/Scrum environments and using tools such as JIRA, Confluence, or Azure DevOps.
- Excellent communication and interpersonal skills, with a proven ability to collaborate across multidisciplinary teams.
Preferred Qualifications
- Master’s degree or advanced certifications in data engineering, cloud architecture, or related disciplines.
- Experience with streaming data platforms (Kafka, Kinesis, or similar) and real‑time analytics.
- Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for data workloads.
- Exposure to machine learning pipelines and collaboration with data science teams.
- Track record of leading technical initiatives, mentoring junior engineers, and driving architectural decisions.
Core Skills & Competencies
- Analytical Thinking: Ability to break down complex problems, devise logical solutions, and anticipate downstream impacts.
- Performance Mindset: Commitment to delivering high‑throughput, low‑latency data solutions that meet or exceed SLA targets.
- Collaboration: Strong team player who thrives in a remote, distributed environment and can build consensus across diverse stakeholders.
- Adaptability: Comfortable navigating fast‑changing priorities and emerging technologies within a dynamic entertainment industry.
- Documentation Discipline: Meticulous in maintaining clear, accessible documentation to support data stewardship and auditability.
- Customer‑Centric Focus: Understanding of how data products translate into tangible value for internal and external customers.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Senior Data Engineer, you will have access to:
- Mentorship programs with senior architects and industry thought leaders.
- Sponsored certifications (AWS Certified Data Analytics, Snowflake SnowPro, etc.).
- Internal tech talks, hackathons, and innovation labs focused on emerging data technologies.
- Opportunities to transition into lead architect, data platform manager, or data science liaison roles as you expand your expertise.
Work Environment & Culture at careerzynith
careerzynith embraces a flexible, inclusive, and collaborative culture. Our remote workforce enjoys:
- Fully remote work setup with a robust digital collaboration suite (Slack, Microsoft Teams, Confluence).
- Regular virtual coffee chats, team‑building activities, and cross‑functional meet‑ups to foster community.
- A commitment to diversity, equity, and inclusion, ensuring every voice is heard and valued.
- Transparent leadership communication, with quarterly town halls and open Q&A sessions.
- Health‑first policies that encourage work‑life balance, including flexible hours and generous paid time off.
Compensation, Perks & Benefits
careerzynith offers a competitive compensation package that includes:
- Base salary ranging from $35,000 to $40,000 per year, commensurate with experience.
- Performance‑based bonuses and annual salary reviews.
- Comprehensive health, dental, and vision insurance plans.
- Retirement savings options with company matching contributions.
- Paid parental leave, family care assistance, and flexible PTO.
- Professional development stipend for courses, conferences, and certifications.
- Access to careerzynith’s entertainment ecosystem, including exclusive previews, discounts, and virtual experiences.
How to Apply
If you are passionate about building data platforms that power world‑class entertainment experiences, we want to hear from you. Click the link below to submit your application and join the careerzynith family.
Apply Job!
Conclusion
At careerzynith, data engineers are not just custodians of information—they are architects of the future of entertainment. By joining our Item Execution and Instrumentation Group, you will help shape the data foundation that drives creativity, operational excellence, and unforgettable guest experiences. Take the next step in your career and become part of a visionary team that values innovation, collaboration, and continuous growth. Apply today and start your journey with careerzynith!